lucastakara/CBIC_21_Anomaly_Detection

This repository explores the cutting-edge field of anomaly detection using deep learning, particularly through the implementation of autoencoders. Our approach revolves around the concept of reconstruction error, with a specific focus on leveraging the Mean Absolute Error (MAE) as the determining factor for anomalies within complex datasets.

Python